&ldquo;IIT Jodhpur is committed to impart quality education to facilitate the creation of qualified, competent and responsible human resources to meet the emerging technological challenges of the world. It is working towards creating an equitable learning platform that is positive, accessible and effective in the face of the modern societal and scientific advancements.

Flexibility in curriculum, in all its academic programs, encompassing elements of teaching, research, creativity, innovation and entrepreneurship is the most unique feature of IIT Jodhpur. The Department of Science and Technology (DST), under the National Mission on Cyber Physical Systems, has identified IIT Jodhpur as a Technology &amp; Innovation Hub in the area of Augmented Reality and Virtual Reality. The institute has also been nominated as the coordinator for the Jodhpur City and Knowledge Cluster by the Office of Principal Scientific Adviser, Government of India.

The sprawling 852-acre IIT Jodhpur campus is a majestic tribute to the deep-rooted diverse cultural heritage of the region. The campus is an architectural masterpiece, which is slated to become an international exemplar of sustainability with net-zero energy, and advanced water and waste management strategies.&rdquo;

IIT Jodhpur

The problem of detecting correspondences between object contours belonging to successive image frames of a dynamic scene is addressed. The object contours are represented using concave, convex and straight line segments which are extracted after smoothing the contour with a Gaussian kernel. The matching problem is tackled using heuristic search with a state space formulation. An admissible heuristic function is designed for guiding the search. Experimental results are presented to demonstrate the capabilities of the method.

Department of Computer Science & Engineering

World University root node

IEE Proceedings E: Computers and Digital Techniques

Heuristic search approach to shape matching in image sequences

This paper presents a new heuristic search based approach for recognition of partially obscured planar shapes. Based on a general scheme for representing the planar shapes in terms of their contour segments, a state space formulation is obtained for the recognition problem. The search in the state space is guided by an admissible heuristic function which is not dependent upon the features actually used for representing the shapes. Some schemes for toning up the efficiency of the method are also discussed. A study of the method was carried out by experimenting with some typical objects and results of experimentation are presented. © 1990.